6 papers · 1 filter
RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
Guangjin Pan, Hui Chen, Hei Victor Cheng +1
Wireless localization is a fundamental capability of sixth-generation (6G) networks. Conventional model-based methods require accurate modeling of the propagation environment and d…
Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach
Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng +2
Resource allocation in integrated sensing and communication (ISAC) systems needs to be optimized to balance the requirements of the communication and sensing modules considering co…
Beampattern Synthesis for Discrete Phase RIS in Communication and Sensing Systems
Xiao Cai, Hei Victor Cheng, Daniel E. Lucani
Extensive research on Reconfigurable Intelligent Surfaces (RIS) has primarily focused on optimizing reflective coefficients for passive beamforming in specific target directions. T…
Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng +2
Mobile users are prone to experience beam failure due to beam drifting in millimeter wave (mmWave) communications. Sensing can help alleviate beam drifting with timely beam changes…
One-Bit Sigma-Delta DFRC Waveform Design: Using Quantization Noise for Radar Probing
Wai-Yiu Keung, Hei Victor Cheng, Wing-Kin Ma
Dual-functional radar-communication (DFRC) signal design has received much attention lately. We consider the scenario of one-bit massive multi-input multi-output (MIMO) wherein one…
Transmitting Data Through Reconfigurable Intelligent Surface: A Spatial Sigma-Delta Modulation Approach
Wai-Yiu Keung, Hei Victor Cheng, Wing-Kin Ma
Transmitting data using the phases on reconfigurable intelligent surfaces (RIS) is a promising solution for future energy-efficient communication systems. Recent work showed that a…